Year |
Citation |
Score |
2023 |
Fang W, Chen Y, Ding J, Yu Z, Masquelier T, Chen D, Huang L, Zhou H, Li G, Tian Y. SpikingJelly: An open-source machine learning infrastructure platform for spike-based intelligence. Science Advances. 9: eadi1480. PMID 37801497 DOI: 10.1126/sciadv.adi1480 |
0.353 |
|
2022 |
Bonilla L, Gautrais J, Thorpe S, Masquelier T. Analyzing time-to-first-spike coding schemes: A theoretical approach. Frontiers in Neuroscience. 16: 971937. PMID 36225737 DOI: 10.3389/fnins.2022.971937 |
0.761 |
|
2021 |
Debat G, Chauhan T, Cottereau BR, Masquelier T, Paindavoine M, Baures R. Event-Based Trajectory Prediction Using Spiking Neural Networks. Frontiers in Computational Neuroscience. 15: 658764. PMID 34108870 DOI: 10.3389/fncom.2021.658764 |
0.38 |
|
2020 |
Kheradpisheh SR, Masquelier T. Temporal Backpropagation for Spiking Neural Networks with One Spike per Neuron. International Journal of Neural Systems. 2050027. PMID 32466691 DOI: 10.1142/S0129065720500276 |
0.814 |
|
2019 |
Mozafari M, Ganjtabesh M, Nowzari-Dalini A, Masquelier T. SpykeTorch: Efficient Simulation of Convolutional Spiking Neural Networks With at Most One Spike per Neuron. Frontiers in Neuroscience. 13: 625. PMID 31354403 DOI: 10.3389/Fnins.2019.00625 |
0.719 |
|
2019 |
Tavanaei A, Ghodrati M, Kheradpisheh SR, Masquelier T, Maida A. Deep learning in spiking neural networks. Neural Networks : the Official Journal of the International Neural Network Society. 111: 47-63. PMID 30682710 DOI: 10.1016/J.Neunet.2018.12.002 |
0.818 |
|
2019 |
Mozafari M, Ganjtabesh M, Nowzari-Dalini A, Thorpe SJ, Masquelier T. Bio-inspired digit recognition using reward-modulated spike-timing-dependent plasticity in deep convolutional networks Pattern Recognition. 94: 87-95. DOI: 10.1016/J.Patcog.2019.05.015 |
0.737 |
|
2018 |
Masquelier T, Kheradpisheh SR. Optimal Localist and Distributed Coding of Spatiotemporal Spike Patterns Through STDP and Coincidence Detection. Frontiers in Computational Neuroscience. 12: 74. PMID 30279653 DOI: 10.3389/Fncom.2018.00074 |
0.808 |
|
2018 |
Chauhan T, Masquelier T, Montlibert A, Cottereau BR. Emergence of binocular disparity selectivity through Hebbian learning. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30242050 DOI: 10.1523/JNEUROSCI.1259-18.2018 |
0.421 |
|
2018 |
Mozafari M, Kheradpisheh SR, Masquelier T, Nowzari-Dalini A, Ganjtabesh M. First-Spike-Based Visual Categorization Using Reward-Modulated STDP. Ieee Transactions On Neural Networks and Learning Systems. PMID 29993898 DOI: 10.1109/Tnnls.2018.2826721 |
0.812 |
|
2018 |
Tavanaei A, Masquelier T, Maida A. Representation learning using event-based STDP. Neural Networks : the Official Journal of the International Neural Network Society. 105: 294-303. PMID 29894846 DOI: 10.1016/j.neunet.2018.05.018 |
0.569 |
|
2018 |
Huth J, Masquelier T, Arleo A. Convis: A Toolbox to Fit and Simulate Filter-Based Models of Early Visual Processing. Frontiers in Neuroinformatics. 12: 9. PMID 29563867 DOI: 10.3389/Fninf.2018.00009 |
0.612 |
|
2017 |
Kheradpisheh SR, Ganjtabesh M, Thorpe SJ, Masquelier T. STDP-based spiking deep convolutional neural networks for object recognition. Neural Networks : the Official Journal of the International Neural Network Society. 99: 56-67. PMID 29328958 DOI: 10.1016/J.Neunet.2017.12.005 |
0.823 |
|
2017 |
Ashtiani MN, Kheradpisheh SR, Masquelier T, Ganjtabesh M. Object Categorization in Finer Levels Relies More on Higher Spatial Frequencies and Takes Longer. Frontiers in Psychology. 8: 1261. PMID 28790954 DOI: 10.3389/Fpsyg.2017.01261 |
0.75 |
|
2017 |
Deneux T, Masquelier T, Bermudez MA, Masson GS, Deco G, Vanzetta I. Visual stimulation quenches global alpha range activity in awake primate V4: a case study. Neurophotonics. 4: 031222. PMID 28680907 DOI: 10.1117/1.Nph.4.3.031222 |
0.338 |
|
2017 |
Masquelier T. STDP allows close-to-optimal spatiotemporal spike pattern detection by single coincidence detector neurons. Neuroscience. PMID 28668487 DOI: 10.1016/j.neuroscience.2017.06.032 |
0.493 |
|
2017 |
Rubchinsky LL, Ahn S, Klijn W, Cumming B, Yates S, Karakasis V, Peyser A, Woodman M, Diaz-Pier S, Deraeve J, Vassena E, Alexander W, Beeman D, Kudela P, Boatman-Reich D, ... ... Masquelier T, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 2 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0371-2 |
0.71 |
|
2017 |
Thorpe S, Yousefzadeh A, Martin J, Masquelier T. Unsupervised learning of repeating patterns using a novel STDP based algorithm Journal of Vision. 17: 1079. DOI: 10.1167/17.10.1079 |
0.737 |
|
2016 |
Kheradpisheh SR, Ghodrati M, Ganjtabesh M, Masquelier T. Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder. Frontiers in Computational Neuroscience. 10: 92. PMID 27642281 DOI: 10.3389/Fncom.2016.00092 |
0.758 |
|
2016 |
Kheradpisheh SR, Ghodrati M, Ganjtabesh M, Masquelier T. Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition. Scientific Reports. 6: 32672. PMID 27601096 DOI: 10.1038/Srep32672 |
0.76 |
|
2016 |
Masquelier T, Portelli G, Kornprobst P. Microsaccades enable efficient synchrony-based coding in the retina: a simulation study. Scientific Reports. 6: 24086. PMID 27063867 DOI: 10.1038/Srep24086 |
0.402 |
|
2016 |
Kheradpisheh SR, Ganjtabesh M, Masquelier T. Bio-inspired unsupervised learning of visual features leads to robust invariant object recognition Neurocomputing. 205: 382-392. DOI: 10.1016/J.Neucom.2016.04.029 |
0.799 |
|
2014 |
Masquelier T. Oscillations can reconcile slowly changing stimuli with short neuronal integration and STDP timescales. Network (Bristol, England). 25: 85-96. PMID 24571100 DOI: 10.3109/0954898X.2014.881574 |
0.53 |
|
2014 |
Masquelier T, Portelli G, Kornprobst P. Microsaccades enable efficient synchrony-based visual feature learning and detection Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P121 |
0.439 |
|
2014 |
Portelli G, Barrett J, Sernagor E, Masquelier T, Kornprobst P. Rapid neural coding in the mouse retina with the first wave of spikes Bmc Neuroscience. 15. DOI: 10.1186/1471-2202-15-S1-P120 |
0.303 |
|
2013 |
Masquelier T, Deco G. Network bursting dynamics in excitatory cortical neuron cultures results from the combination of different adaptive mechanisms. Plos One. 8: e75824. PMID 24146781 DOI: 10.1371/Journal.Pone.0075824 |
0.379 |
|
2013 |
Masquelier T. Neural variability, or lack thereof. Frontiers in Computational Neuroscience. 7: 7. PMID 23444270 DOI: 10.3389/fncom.2013.00007 |
0.4 |
|
2013 |
Serrano-Gotarredona T, Masquelier T, Prodromakis T, Indiveri G, Linares-Barranco B. STDP and STDP variations with memristors for spiking neuromorphic learning systems. Frontiers in Neuroscience. 7: 2. PMID 23423540 DOI: 10.3389/Fnins.2013.00002 |
0.782 |
|
2013 |
Masquelier T, Gilson M. Optimal spike pattern v.s. noise separation by neurons equipped with STDP Bmc Neuroscience. 14. DOI: 10.1186/1471-2202-14-S1-P142 |
0.488 |
|
2012 |
Masquelier T. Relative spike time coding and STDP-based orientation selectivity in the early visual system in natural continuous and saccadic vision: a computational model. Journal of Computational Neuroscience. 32: 425-41. PMID 21938439 DOI: 10.1007/s10827-011-0361-9 |
0.446 |
|
2011 |
Gilson M, Masquelier T, Hugues E. STDP allows fast rate-modulated coding with Poisson-like spike trains. Plos Computational Biology. 7: e1002231. PMID 22046113 DOI: 10.1371/journal.pcbi.1002231 |
0.522 |
|
2011 |
Masquelier T, Albantakis L, Deco G. The timing of vision - how neural processing links to different temporal dynamics. Frontiers in Psychology. 2: 151. PMID 21747774 DOI: 10.3389/Fpsyg.2011.00151 |
0.453 |
|
2011 |
Zamarreño-Ramos C, Camuñas-Mesa LA, Pérez-Carrasco JA, Masquelier T, Serrano-Gotarredona T, Linares-Barranco B. On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex. Frontiers in Neuroscience. 5: 26. PMID 21442012 DOI: 10.3389/Fnins.2011.00026 |
0.784 |
|
2011 |
Deco G, Buehlmann A, Masquelier T, Hugues E. The role of rhythmic neural synchronization in rest and task conditions. Frontiers in Human Neuroscience. 5: 4. PMID 21326617 DOI: 10.3389/Fnhum.2011.00004 |
0.453 |
|
2010 |
Masquelier T, Serre T, Thorpe S, Poggio T. Learning simple and complex cells-like receptive fields from natural images: a plausibility proof Journal of Vision. 7: 81-81. DOI: 10.1167/7.9.81 |
0.478 |
|
2010 |
Masquelier T, Thorpe SJ. Learning to recognize objects using waves of spikes and spike timing-dependent plasticity Proceedings of the International Joint Conference On Neural Networks. DOI: 10.1109/IJCNN.2010.5596934 |
0.545 |
|
2009 |
Masquelier T, Hugues E, Deco G, Thorpe SJ. Oscillations, phase-of-firing coding, and spike timing-dependent plasticity: an efficient learning scheme. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 29: 13484-93. PMID 19864561 DOI: 10.1523/Jneurosci.2207-09.2009 |
0.65 |
|
2009 |
Masquelier T, Guyonneau R, Thorpe SJ. Competitive STDP-based spike pattern learning. Neural Computation. 21: 1259-76. PMID 19718815 DOI: 10.1162/neco.2008.06-08-804 |
0.806 |
|
2009 |
Gilson M, Masquelier T, Hugues E, Burkittt AN. Pattern learning using spike-timing-dependent plasticity: a theoretical approach Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P199 |
0.525 |
|
2008 |
Masquelier T, Guyonneau R, Thorpe SJ. Spike timing dependent plasticity finds the start of repeating patterns in continuous spike trains. Plos One. 3: e1377. PMID 18167538 DOI: 10.1371/journal.pone.0001377 |
0.795 |
|
2007 |
Masquelier T, Thorpe SJ. Unsupervised learning of visual features through spike timing dependent plasticity. Plos Computational Biology. 3: e31. PMID 17305422 DOI: 10.1371/journal.pcbi.0030031 |
0.681 |
|
Low-probability matches (unlikely to be authored by this person) |
2013 |
Masquelier T, Deco G. Correction: Network Bursting Dynamics in Excitatory Cortical Neuron Cultures Results from the Combination of Different Adaptive Mechanism Plos One. 8. DOI: 10.1371/annotation/b7f972c2-57df-44c4-9d54-9f194222d762 |
0.289 |
|
2023 |
Imani Z, Ezoji M, Masquelier T. Brain-guided manifold transferring to improve the performance of spiking neural networks in image classification. Journal of Computational Neuroscience. 51: 475-490. PMID 37721653 DOI: 10.1007/s10827-023-00861-z |
0.276 |
|
2016 |
Portelli G, Barrett JM, Hilgen G, Masquelier T, Maccione A, Di Marco S, Berdondini L, Kornprobst P, Sernagor E. Rank Order Coding: a Retinal Information Decoding Strategy Revealed by Large-Scale Multielectrode Array Retinal Recordings. Eneuro. 3. PMID 27275008 DOI: 10.1523/ENEURO.0134-15.2016 |
0.265 |
|
2021 |
Chauhan T, Masquelier T, Cottereau BR. Sub-Optimality of the Early Visual System Explained Through Biologically Plausible Plasticity. Frontiers in Neuroscience. 15: 727448. PMID 34602970 DOI: 10.3389/fnins.2021.727448 |
0.263 |
|
2017 |
Denham S, Poirazi P, De Schutter E, Friston K, Chan HK, Nowotny T, Han D, Hong S, Rosay S, Wernle T, Treves A, Goethals S, Brette R, Van Pottelbergh T, Sepulchre R, ... ... Masquelier T, et al. 26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1 Bmc Neuroscience. 18. DOI: 10.1186/S12868-017-0370-3 |
0.238 |
|
2023 |
Cuadrado J, Rançon U, Cottereau BR, Barranco F, Masquelier T. Optical flow estimation from event-based cameras and spiking neural networks. Frontiers in Neuroscience. 17: 1160034. PMID 37250425 DOI: 10.3389/fnins.2023.1160034 |
0.19 |
|
2021 |
Zenke F, Bohté SM, Clopath C, Comşa IM, Göltz J, Maass W, Masquelier T, Naud R, Neftci EO, Petrovici MA, Scherr F, Goodman DFM. Visualizing a joint future of neuroscience and neuromorphic engineering. Neuron. 109: 571-575. PMID 33600754 DOI: 10.1016/j.neuron.2021.01.009 |
0.181 |
|
2001 |
Sheridan TB, Masquelier T, Hutchings C. Safety Enhancement by PDA: Two Novel Examples Ifac Proceedings Volumes. 34: 259-263. DOI: 10.1016/S1474-6670(17)41535-7 |
0.072 |
|
Hide low-probability matches. |